Feasibility Analysis of Human Motion Identification using Motion Capture

B. Jabłoński, R. Klempous, and D. Majchrzak (Poland)

Keywords

timeseries analysis, motion analysis, motion capture

Abstract

The paper describes possibilities of application of amplitude spectrum analysis and the Dynamic Time Warping (DTW) method in identification of a person via analysis of leg rotation signals. Human motion is a complex process and its various characteristics may be used in biometric analysis. Several papers demonstrate that information carried by motion of legs and hips may serve as valuable basis for identifying unique motion patterns of a given person. Using this information allows discovery and identification of captured human motion. Developing methods of such analysis will enable in the future efficient identification of persons from a distance. The paper presents possibilities created by applying various methods of motion analysis and suggests directions of advancing biometric identification. (The paper is partially supported by The Foundation For Polish Science)

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